Junior software engineer jobs in United Kingdom - Page 4

Job Description Opportunity Summary 📛 Role | Graduate / Junior Software Engineer (Full-Stack) 🎓 Experience | STEM degree (or equivalent) + personal projects / demonstrable passion for tech 🏢 Company | Mission-Led Start-Up 📈 Stage | Scaling engineering team 📍 Location | London (H

Job Description Junior Software Engineer Trading Systems £80,000 Plus Bonus + yearly Ski Trip Quant Capital is urgently looking for a C# Developer with experience of Trading or Financial Services to join our high profile client. I am looking at junior engineers keen on learning back office and s

Opportunity Summary 📛 Role | Graduate / Junior Software Engineer (Full-Stack) 🎓 Experience | STEM degree (or equivalent) + personal projects / demonstrable passion for tech 🏢 Company | Mission-Led Start-Up 📈 Stage | Scaling engineering team 📍 Location | London (Hybrid) 💰 Offe

Junior Software Engineer Trading Systems £80,000 Plus Bonus + yearly Ski Trip Quant Capital is urgently looking for a C# Developer with experience of Trading or Financial Services to join our high profile client.I am looking at junior engineers keen on learning back office and settlement systems

Opportunity Summary 📛 Role | Graduate / Junior Software Engineer (Full-Stack) 🎓 Experience | STEM degree (or equivalent) + personal projects / demonstrable passion for tech 🏢 Company | Mission-Led Start-Up 📈 Stage | Scaling engineering team 📍 Location | London (Hybrid) 💰 Offe

Minimum of one year of commercial experience as a Software Engineer.

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As a Junior/Mid level Software Engineer (depending on experience) you’ll be contributing across all areas of our full-stack product based in the Cloud, and our IoT devices that interface with Mytos hardware to manufacture cells. We’ve assembled a world-class team to take on this challenge, with

Junior .NET Software Engineer | London | £35,000–£50,000 + Bonus + Hybrid Location: Central London (Hybrid: 3 days in office) Salary: £35,000–£50,000 + performance bonus + excellent benefits Tech: .NET 6/7, C#, AWS, REST APIs, SQL, CI/CD, Microservices Considering making an application for this job Check all the details in this job description, and then click on Apply. The Opportunity We are partnering with a fast-growing SaaS company in Central London that is expanding its engineering team and looking for a Junior .NET Software Engineer who is eager to learn, grow, and work with modern technologies. This is a fantastic opportunity for someone with a solid foundation in C# and .NET to develop their skills in cloud computing (AWS), microservices, and modern software engineering practices. You’ll be joining an experienced team that values mentorship, collaboration, and technical excellence — offering you the chance to work on meaningful projects while being supported by senior engineers. The Role As a Junior .NET Software Engineer, you’ll contribute to the development of scalable backend systems and web applications while learning from experienced mentors. Your responsibilities will include: • Developing backend functionality using .NET 6/7 (C#), • Building and consuming RESTful APIs and integrating with databases, • Working with AWS services as part of a cloud-first environment, • Supporting the development and maintenance of microservices, • Writing clean, maintainable, and well-tested code, • Collaborating with senior engineers, product teams, and DevOps to deliver high-quality features About You You are enthusiastic, curious, and committed to building a career in software development. You enjoy solving problems, writing code, and continuously improving your technical skills. You’ll ideally bring: • 1–2 years of experience in software development (commercial or internship), • Knowledge of C# / .NET Core / .NET 6+, • Familiarity with REST APIs and SQL databases, • Understanding of core programming concepts (OOP, data structures, debugging), • Eagerness to learn cloud technologies such as AWS, • Basic exposure to JavaScript or front-end frameworks, • Experience with CI/CD tools (GitHub Actions, Azure DevOps, etc.), • Familiarity with Docker or containerization concepts What’s on Offer • Salary up to £50,000, dependent on experience, • Annual bonus and full benefits package, • Hybrid working – 2 days per week in the London office, • 25 days’ holiday plus bank holidays, • Private healthcare and pension, • Mentorship from senior developers and access to a dedicated learning and development budget, • The opportunity to grow your skills within a supportive, engineering-led culture If you’re a motivated Junior .NET Engineer looking to develop your skills in a collaborative, cloud-focused environment and work with modern technologies, we’d love to hear from you.

Senior Java Developer- London/Hybrid- up to £95k Are you the right applicant for this opportunity Find out by reading through the role overview below. Our client an innovative and light footed fintech startup/scaleup brand are on a mission to revolutionise the credit and lending space. The brand who have now been running for the last 10 years and backed by VC investment are looking to hire a Senior Engineer to work on an exciting Product roadmap over the coming years. This role is based out of central London on a hybrid approach and looking for people that are willing to come to their office 3 days per week, they may have a bit of flexibility on this and very flexible hours. Tech Stack: • Java 11 (moving to Java 17), • Relational Databases- SQL and ORM Tech (JPA, Hibernate), • Frameworks- preferably Vaadin or JSF, Wicket, Spring MVC, • Spring Boot, • AWS, • Microservices, • ML/ Big Data- desirable, • Docker- desirable, • Design and development of low latency software components, • Contribute across the entire SDLC, • write and enhance well structured, testable, scalable and efficient code, • setup and maintain development process tools, • Collaborate in agile development process meetings, stand ups, sprint panning, retrospectives and foster collaboration, • mentor more junior engineers, • collaborate with cross functional teams, • migration from some monolithic architecture to microservices, • migration from java 11 to java 17, • migration to new versions of Vaadin, • brand new lender platform and payment systems for their customers, • Super collaborative, • process light and the Senior Engineers are able to introduce ideas and have autonomy to drive change Salary is up to £95k plus a competitive benefits package which includes 5% matched pension (salary sacrifice), 25 days holiday plus bank holidays, private health care with aviva, income protection, super flexible hours, L&D budget, a modern and state of the art office with lots of socials and an outstanding Engineering Leader who has a history of building high performing teams and growth of individuals. If this sounds like you then please click apply now! Senior Java Developer- London/Hybrid- up to £95k

Our client, a leading global investment manager, are growing their European operation and are hiring a Senior Solutions Engineer to join their dynamic investment technology team in London. Focussed on fixed income, this is a senior (director level) role akin to a "distinguished engineer", working closely with portfolio managers, portfolio analysts, risk and quants, to understand current investment tooling and data challenges and then working closely with the delivery team to design and deliver new solutions. Our client hosts a modern tech stack and the successful candidate will be responsible for driving future state investment solutions, enhancing productivity through automation, and will leverage Gen AI and ML techniques to drive efficiencies. Extensive experience in the asset management industry, specifically within Fixed Income, and specifically within front office. Strong understanding of the investment process - portfolio construction, allocation and risk management. Software Engineering background - Java, Python, SQL, Node.js, Next.js, React, AWS, in a microservices environment. Leadership skills in designing and delivering scalable technology solutions, and the mentoring of junior talent. Our client is based in central London and works a hybrid model, 3 days per week on site.

IT & Audio-Visual Support Engineer (A/V Specialist) Work Type - Contract Location - Central London, UK Work Mode - Onsite Experience Level: Junior to Mid-level Job Overview We are looking for an energetic IT & Audio-Visual Support Engineer to provide hands-on support for daily IT operations and Audio/Visual (A/V) systems in our office environment. This role is ideal for someone with 13 years of IT support experience who enjoys working with meeting room technologies, conferencing tools, and end-user support . Youll be responsible for ensuring smooth A/V experiences during meetings and events while also assisting with general IT support tasks. Key Responsibilities Provide IT and A/V support to office users, including meeting room setup and live troubleshooting. Set up and maintain video conferencing systems such as Microsoft Teams Rooms, Zoom Rooms, and Webex . Support projectors, displays, microphones, cameras, and control systems in conference rooms. Handle basic IT support tasks , including hardware/software troubleshooting, device setup, and network connectivity checks. Assist VIP and leadership users during meetings to ensure a seamless experience. Maintain an inventory of IT and A/V equipment, ensuring everything is updated and operational. Log and escalate complex issues to senior engineers or vendors when required. Required Skills & Experience ~13 years of experience in IT Support, Desktop Support, or A/V Support roles. ~ Familiar with Windows 10/11, Microsoft 365, and Active Directory . ~ Practical experience or strong interest in Audio/Visual systems (Teams Rooms, Zoom Rooms, Poly, Logitech, etc.). ~ Strong communication skills and a professional, customer-focused approach. ~ Ability to work calmly under pressure, especially during live meetings or events.

Senior C++ Software Engineer Salary: 100,000 135,000 Key Responsibilities Design, develop, and optimize software in C++ and/or Rust for control and orchestration systems. Build low-latency interfaces between hardware and classical compute systems. Collaborate with hardware teams to integrate software with FPGAs and high-speed digital electronics. Develop and maintain firmware and drivers for custom hardware platforms. Analyze and optimize system performance including latency, throughput, and resource utilization. Participate in system architecture design and technical decision-making. Conduct code reviews , mentor junior engineers, and promote software best practices. Work with cross-functional teams to ensure seamless integration of hardware and software components for robust, production-ready systems. Ensure system reliability , fault tolerance , and performance in data centre environments. Required Qualifications ~ Bachelors or Masters degree in Computer Engineering , Electrical Engineering , Physics , or a related field. ~5+ years of professional experience in software development, with a focus on C++ and/or Rust . ~ Strong understanding of FPGA architectures , toolchains (e.g., Xilinx Vivado, Intel Quartus), and hardware description languages ( VHDL/Verilog ). ~ Experience with high-speed data centre and GPU interfaces (e.g., PCIe, Ethernet, Infiniband).

Junior AI/ML Azure Engineer / 6 months / Hybrid London / Start ASAP My client is setting up a brand new AI/ML function and within this capability, we are looking for a Azure AI MLOps Engineer professional. The role is based within the IT department on the AI function, located in my clients London headquarters building. We are seeking a highly skilled and experienced Azure AI Engineer to design, develop and implement the AI and ML applications on the Azure platform. You will have adequate knowledge in deploying, integrating, testing and securing Azure AI Services encompassing AI and ML functions. You will be critical in creating intelligent AI applications. You will work closely with cross-functional teams to conceptualise, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. The AI IT application development uses Agile software delivery on Azure cloud technologies. The development uses a platform built using Python technologies together with commercially available off the shelf software products with the clients solution architecture team guidance. Build, develop and deploy AI powered applications using Python and related frameworks Utilise Python and other relevant programming languages to build intelligent applications on the Azure platform. Design and develop Azure AI Services proficiently; Develop solutions using Azure AI Prompt Flow; Setup and develop data ingestion pipelines and components; Developing search related components using Azure AI Search (Vector Store) Developing and deploying AI/ML models on Azure technologies for business teams Collaborate with AI Engineers, MLOps Engineers, Data Scientists and Business stakeholders to understand deployment, networking and security requirements in helping design effective AI solutions for the projects Develop and test code, ensuring high quality, maintainability, and adherence to best practices. Create and maintain secure and performant AI platform Provide technical expertise in designing, developing and implementing the AI powered applications Develop unit tests, automated regression packs and help setup model evaluation test packs Build and maintain scalable, high-performance AI apps on Azure platform. Provide technical expertise and support to troubleshoot and resolve AI-related issues and performance bottlenecks. Stay current with industry trends and best practices in AI technology and recommend innovative solutions to enhance business operations. Conduct thorough testing and validation of AI models to ensure accuracy and reliability. Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively. Develop and implement automated testing frameworks for machine learning models to ensure their ongoing accuracy and reliability. Document AI development processes and procedures for efficient knowledge transfer and maintainability. Developing, designing and integrating AI Powered Applications with the approved tech stack and bank standards Developing Azure AI Services based AI applications Creating testing frameworks, evaluating AI/ML models Monitor and troubleshoot AI solutions to ensure optimal performance and address any potential issues Documentation of design and implementation strategy Implementation of pipeline and dependent tooling in conjunction with the clients DevOps suppliers and the clients IT Operations Identification of bottlenecks and performance improvements across deployment cycle Help promote a AI Development best practices and culture across the client IT Building reusable and scalable solutions

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits Were partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering safe, production-grade AI solutions that drive real-world outcomes for complex, high-stakes environments. This is a fast-paced, technically elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. As a Senior Machine Learning Engineer, youll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. Youll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. Youll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Mentor junior engineers and shape internal technical standards for software quality, reliability, and reproducibility Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments

Kings Cross London 2/3 times per week Term: 6 months, ASAP start date Our client want to supercharge their data capability to better understand their patients and accelerate their ability to discover vaccines and medicines. The organization represents a major investment by our clients R&D and Digital & Tech, designed to deliver a step-change in their ability to leverage data, knowledge, and prediction to find new medicines.They are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for the clients scientists, engineers, and decision-makers, increasing productivity and reducing time spent on data mechanics Providing best-in-class AI/ML and data analysis environments to accelerate the cleints predictive capabilities and attract top-tier talent Aggressively engineering their data at scale, as one unified asset, to unlock the value of their unique collection of data and predictions in real-time Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in ?12h). Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products: to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. We are looking for an experienced DataOps Engineer to join our clients growing Data Ops team. As a Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizing biomedical and scientific data engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering teams across our client Thought leader and partner with wider Onyx data engineering teams to advise on implementation and best practices Data as a configurable resource (including configuration-driven access to scientific data modelling tools) Enable quality engineering through KPIs and code coverage and quality checks Standardise GitOps/declarative software development lifecycle Strong experience with coding in Python coding A background of 5+ years in Software Engineering, using Google Cloud Platform (GCP) Data Ops Engineers take ownership of delivering high-performing, high-impact biomedical and scientific data ops products and services, from a description of a pattern that customer Data Engineers are trying to use all the way through to final delivery (and ongoing monitoring and operations) of a templated project and all associated automation. They are standard-bearers for software engineering and quality coding practices within the team and are expected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project. They devise useful metrics for ensuring their services are meeting customer demand and having an impact and iterate to deliver and improve on those metrics in an agile fashion.

Our client, a leading global investment manager, are growing their European operation and are hiring a Senior Solutions Engineer to join their dynamic investment technology team in London. Focussed on fixed income, this is a senior (director level) role akin to a "distinguished engineer", working closely with portfolio managers, portfolio analysts, risk and quants, to understand current investment tooling and data challenges and then working closely with the delivery team to design and deliver new solutions. Our client hosts a modern tech stack and the successful candidate will be responsible for driving future state investment solutions, enhancing productivity through automation, and will leverage Gen AI and ML techniques to drive efficiencies. Extensive experience in the asset management industry, specifically within Fixed Income, and specifically within front office. Strong understanding of the investment process - portfolio construction, allocation and risk management. Software Engineering background - Java, Python, SQL, Node.js, Next.js, React, AWS, in a microservices environment. Leadership skills in designing and delivering scalable technology solutions, and the mentoring of junior talent. Our client is based in central London and works a hybrid model, 3 days per week on site.

Junior AI/ML Azure Engineer / 6 months / Hybrid London / Start ASAP My client is setting up a brand new AI/ML function and within this capability, we are looking for a Azure AI MLOps Engineer professional. The role is based within the IT department on the AI function, located in my clients London headquarters building. We are seeking a highly skilled and experienced Azure AI Engineer to design, develop and implement the AI and ML applications on the Azure platform. You will have adequate knowledge in deploying, integrating, testing and securing Azure AI Services encompassing AI and ML functions. You will be critical in creating intelligent AI applications. You will work closely with cross-functional teams to conceptualise, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. The AI IT application development uses Agile software delivery on Azure cloud technologies. The development uses a platform built using Python technologies together with commercially available off the shelf software products with the clients solution architecture team guidance. Build, develop and deploy AI powered applications using Python and related frameworks Utilise Python and other relevant programming languages to build intelligent applications on the Azure platform. Design and develop Azure AI Services proficiently; Develop solutions using Azure AI Prompt Flow; Setup and develop data ingestion pipelines and components; Developing search related components using Azure AI Search (Vector Store) Developing and deploying AI/ML models on Azure technologies for business teams Collaborate with AI Engineers, MLOps Engineers, Data Scientists and Business stakeholders to understand deployment, networking and security requirements in helping design effective AI solutions for the projects Develop and test code, ensuring high quality, maintainability, and adherence to best practices. Create and maintain secure and performant AI platform Provide technical expertise in designing, developing and implementing the AI powered applications Develop unit tests, automated regression packs and help setup model evaluation test packs Build and maintain scalable, high-performance AI apps on Azure platform. Provide technical expertise and support to troubleshoot and resolve AI-related issues and performance bottlenecks. Stay current with industry trends and best practices in AI technology and recommend innovative solutions to enhance business operations. Conduct thorough testing and validation of AI models to ensure accuracy and reliability. Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively. Develop and implement automated testing frameworks for machine learning models to ensure their ongoing accuracy and reliability. Document AI development processes and procedures for efficient knowledge transfer and maintainability. Developing, designing and integrating AI Powered Applications with the approved tech stack and bank standards Developing Azure AI Services based AI applications Creating testing frameworks, evaluating AI/ML models Monitor and troubleshoot AI solutions to ensure optimal performance and address any potential issues Documentation of design and implementation strategy Implementation of pipeline and dependent tooling in conjunction with the clients DevOps suppliers and the clients IT Operations Identification of bottlenecks and performance improvements across deployment cycle Help promote a AI Development best practices and culture across the client IT Building reusable and scalable solutions

Junior AI/ML Azure Engineer / 6 months / Hybrid London / Start ASAP My client is setting up a brand new AI/ML function and within this capability, we are looking for a Azure AI MLOps Engineer professional. The role is based within the IT department on the AI function, located in my clients London headquarters building. We are seeking a highly skilled and experienced Azure AI Engineer to design, develop and implement the AI and ML applications on the Azure platform. You will have adequate knowledge in deploying, integrating, testing and securing Azure AI Services encompassing AI and ML functions. You will be critical in creating intelligent AI applications. You will work closely with cross-functional teams to conceptualise, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. The AI IT application development uses Agile software delivery on Azure cloud technologies. The development uses a platform built using Python technologies together with commercially available off the shelf software products with the clients solution architecture team guidance. Build, develop and deploy AI powered applications using Python and related frameworks Utilise Python and other relevant programming languages to build intelligent applications on the Azure platform. Design and develop Azure AI Services proficiently; Develop solutions using Azure AI Prompt Flow; Setup and develop data ingestion pipelines and components; Developing search related components using Azure AI Search (Vector Store) Developing and deploying AI/ML models on Azure technologies for business teams Collaborate with AI Engineers, MLOps Engineers, Data Scientists and Business stakeholders to understand deployment, networking and security requirements in helping design effective AI solutions for the projects Develop and test code, ensuring high quality, maintainability, and adherence to best practices. Create and maintain secure and performant AI platform Provide technical expertise in designing, developing and implementing the AI powered applications Develop unit tests, automated regression packs and help setup model evaluation test packs Build and maintain scalable, high-performance AI apps on Azure platform. Provide technical expertise and support to troubleshoot and resolve AI-related issues and performance bottlenecks. Stay current with industry trends and best practices in AI technology and recommend innovative solutions to enhance business operations. Conduct thorough testing and validation of AI models to ensure accuracy and reliability. Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively. Develop and implement automated testing frameworks for machine learning models to ensure their ongoing accuracy and reliability. Document AI development processes and procedures for efficient knowledge transfer and maintainability. Developing, designing and integrating AI Powered Applications with the approved tech stack and bank standards Developing Azure AI Services based AI applications Creating testing frameworks, evaluating AI/ML models Monitor and troubleshoot AI solutions to ensure optimal performance and address any potential issues Documentation of design and implementation strategy Implementation of pipeline and dependent tooling in conjunction with the clients DevOps suppliers and the clients IT Operations Identification of bottlenecks and performance improvements across deployment cycle Help promote a AI Development best practices and culture across the client IT Building reusable and scalable solutions

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits Were partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering safe, production-grade AI solutions that drive real-world outcomes for complex, high-stakes environments. This is a fast-paced, technically elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. As a Senior Machine Learning Engineer, youll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. Youll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. Youll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Mentor junior engineers and shape internal technical standards for software quality, reliability, and reproducibility Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments

Kings Cross London 2/3 times per week Term: 6 months, ASAP start date Our client want to supercharge their data capability to better understand their patients and accelerate their ability to discover vaccines and medicines. The organization represents a major investment by our clients R&D and Digital & Tech, designed to deliver a step-change in their ability to leverage data, knowledge, and prediction to find new medicines.They are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for the clients scientists, engineers, and decision-makers, increasing productivity and reducing time spent on data mechanics Providing best-in-class AI/ML and data analysis environments to accelerate the cleints predictive capabilities and attract top-tier talent Aggressively engineering their data at scale, as one unified asset, to unlock the value of their unique collection of data and predictions in real-time Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in ?12h). Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products: to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. We are looking for an experienced DataOps Engineer to join our clients growing Data Ops team. As a Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizing biomedical and scientific data engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering teams across our client Thought leader and partner with wider Onyx data engineering teams to advise on implementation and best practices Data as a configurable resource (including configuration-driven access to scientific data modelling tools) Enable quality engineering through KPIs and code coverage and quality checks Standardise GitOps/declarative software development lifecycle Strong experience with coding in Python coding A background of 5+ years in Software Engineering, using Google Cloud Platform (GCP) Data Ops Engineers take ownership of delivering high-performing, high-impact biomedical and scientific data ops products and services, from a description of a pattern that customer Data Engineers are trying to use all the way through to final delivery (and ongoing monitoring and operations) of a templated project and all associated automation. They are standard-bearers for software engineering and quality coding practices within the team and are expected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project. They devise useful metrics for ensuring their services are meeting customer demand and having an impact and iterate to deliver and improve on those metrics in an agile fashion.

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits Were partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering safe, production-grade AI solutions that drive real-world outcomes for complex, high-stakes environments. This is a fast-paced, technically elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. As a Senior Machine Learning Engineer, youll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. Youll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. Youll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Mentor junior engineers and shape internal technical standards for software quality, reliability, and reproducibility Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments

Opportunity Summary 📛 Role | Graduate / Junior Software Engineer (Full-Stack) 🎓 Experience | STEM degree (or equivalent) + personal projects / demonstrable passion for tech 🏢 Company | Mission-Led Start-Up 📈 Stage | Scaling engineering team 📍 Location | London (Hybrid) 💰 Offe

Job Description Opportunity Summary 📛 Role | Graduate / Junior Software Engineer (Full-Stack) 🎓 Experience | STEM degree (or equivalent) + personal projects / demonstrable passion for tech 🏢 Company | Mission-Led Start-Up 📈 Stage | Scaling engineering team 📍 Location | London (H

Job Description Junior Software Engineer Trading Systems £80,000 Plus Bonus + yearly Ski Trip Quant Capital is urgently looking for a C# Developer with experience of Trading or Financial Services to join our high profile client. I am looking at junior engineers keen on learning back office and s

Job Description Opportunity Summary 📛 Role | Graduate / Junior Software Engineer (Full-Stack) 🎓 Experience | STEM degree (or equivalent) + personal projects / demonstrable passion for tech 🏢 Company | Mission-Led Start-Up 📈 Stage | Scaling engineering team 📍 Location | London (H

Opportunity Summary 📛 Role | Graduate / Junior Software Engineer (Full-Stack) 🎓 Experience | STEM degree (or equivalent) + personal projects / demonstrable passion for tech 🏢 Company | Mission-Led Start-Up 📈 Stage | Scaling engineering team 📍 Location | London (Hybrid) 💰 Offe

Junior/Mid Full-Stack Software Engineer. Minimum of one year of commercial experience as a Software Engineer.

The Engineer will participate in development activities across CRM projects ensuring that the software produced is written in a standard, maintainable and efficient manner. Design, develop, modify, implement, and support software components. Determine root cause for the most complex software issues

Mesh-AI are seeking an exceptional Principal Software Engineer to lead delivery of exciting engagements within our Energy & Commodities Trading sector. Establish software engineering best practices and coding standards for trading applications, upskilling more junior members of our delivery teams. P

As a Junior/Mid level Software Engineer (depending on experience) you’ll be contributing across all areas of our full‑stack product based in the Cloud, and our IoT devices that interface with Mytos hardware to manufacture cells. Up‑skill in domains outside software engineering, from donning a

Graduate Software Engineer 2025 - Platform. Provide direction and mentoring to more junior software engineers. Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends.

Job Description Junior Software Engineer Trading Systems £80,000 Plus Bonus + yearly Ski Trip Quant Capital is urgently looking for a C# Developer with experience of Trading or Financial Services to join our high profile client. I am looking at junior engineers keen on learning back office and s

Opportunity Summary 📛 Role | Graduate / Junior Software Engineer (Full-Stack) 🎓 Experience | STEM degree (or equivalent) + personal projects / demonstrable passion for tech 🏢 Company | Mission-Led Start-Up 📈 Stage | Scaling engineering team 📍 Location | London (Hybrid) 💰 Offe

Opportunity Summary 📛 Role | Graduate / Junior Software Engineer (Full-Stack) 🎓 Experience | STEM degree (or equivalent) + personal projects / demonstrable passion for tech 🏢 Company | Mission-Led Start-Up 📈 Stage | Scaling engineering team 📍 Location | London (Hybrid) 💰 Offe

Graduate Software Engineer (C++). Graduate Software Engineer - 60,000. This is a fantastic opportunity for any genuinely passionate graduates/junior engineers with a track record of extra‑curricular/personal coding projects to join a high‑performance team with a culture of knowledge sharing and

High competency with specialist process engineering software. Provide discipline engineering guidance to junior team members. Chartered Engineer (or equivalent) with significant experience in upstream oil and gas and energy sectors.

Kantar Media is a wholly owned but operationally independent part of the Kantar Group. At Kantar, the diversity of our employees provides a richer environment for our employees and broader depth and breadth of thinking for our clients. Kantar is committed to inclusion and diversity; therefore, we we

We are looking for a bright, driven, AI-native Junior Software Engineer who is excited about solving complex problems and building scalable platforms. As a Junior Software Engineer at Housekeep, you will:. You have completed a degree or bootcamp in Computer Science, Software Engineering or Artificia

Kings Cross London 2/3 times per week Term: 6 months, ASAP start date Our client want to supercharge their data capability to better understand their patients and accelerate their ability to discover vaccines and medicines. The organization represents a major investment by our clients R&D and Digital & Tech, designed to deliver a step-change in their ability to leverage data, knowledge, and prediction to find new medicines.They are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for the clients scientists, engineers, and decision-makers, increasing productivity and reducing time spent on data mechanics Providing best-in-class AI/ML and data analysis environments to accelerate the cleints predictive capabilities and attract top-tier talent Aggressively engineering their data at scale, as one unified asset, to unlock the value of their unique collection of data and predictions in real-time Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in ?12h). Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products: to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. We are looking for an experienced DataOps Engineer to join our clients growing Data Ops team. As a Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizing biomedical and scientific data engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering teams across our client Thought leader and partner with wider Onyx data engineering teams to advise on implementation and best practices Data as a configurable resource (including configuration-driven access to scientific data modelling tools) Enable quality engineering through KPIs and code coverage and quality checks Standardise GitOps/declarative software development lifecycle Strong experience with coding in Python coding A background of 5+ years in Software Engineering, using Google Cloud Platform (GCP) Data Ops Engineers take ownership of delivering high-performing, high-impact biomedical and scientific data ops products and services, from a description of a pattern that customer Data Engineers are trying to use all the way through to final delivery (and ongoing monitoring and operations) of a templated project and all associated automation. They are standard-bearers for software engineering and quality coding practices within the team and are expected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project. They devise useful metrics for ensuring their services are meeting customer demand and having an impact and iterate to deliver and improve on those metrics in an agile fashion.

Senior C++ Software Engineer Salary: 100,000 135,000 Key Responsibilities Design, develop, and optimize software in C++ and/or Rust for control and orchestration systems. Build low-latency interfaces between hardware and classical compute systems. Collaborate with hardware teams to integrate software with FPGAs and high-speed digital electronics. Develop and maintain firmware and drivers for custom hardware platforms. Analyze and optimize system performance including latency, throughput, and resource utilization. Participate in system architecture design and technical decision-making. Conduct code reviews , mentor junior engineers, and promote software best practices. Work with cross-functional teams to ensure seamless integration of hardware and software components for robust, production-ready systems. Ensure system reliability , fault tolerance , and performance in data centre environments. Required Qualifications ~ Bachelors or Masters degree in Computer Engineering , Electrical Engineering , Physics , or a related field. ~5+ years of professional experience in software development, with a focus on C++ and/or Rust . ~ Strong understanding of FPGA architectures , toolchains (e.g., Xilinx Vivado, Intel Quartus), and hardware description languages ( VHDL/Verilog ). ~ Experience with high-speed data centre and GPU interfaces (e.g., PCIe, Ethernet, Infiniband).

Kings Cross London 2/3 times per week Term: 6 months, ASAP start date Our client want to supercharge their data capability to better understand their patients and accelerate their ability to discover vaccines and medicines. The organization represents a major investment by our clients R&D and Digital & Tech, designed to deliver a step-change in their ability to leverage data, knowledge, and prediction to find new medicines.They are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for the clients scientists, engineers, and decision-makers, increasing productivity and reducing time spent on data mechanics Providing best-in-class AI/ML and data analysis environments to accelerate the cleints predictive capabilities and attract top-tier talent Aggressively engineering their data at scale, as one unified asset, to unlock the value of their unique collection of data and predictions in real-time Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in ?12h). Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products: to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. We are looking for an experienced DataOps Engineer to join our clients growing Data Ops team. As a Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizing biomedical and scientific data engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering teams across our client Thought leader and partner with wider Onyx data engineering teams to advise on implementation and best practices Data as a configurable resource (including configuration-driven access to scientific data modelling tools) Enable quality engineering through KPIs and code coverage and quality checks Standardise GitOps/declarative software development lifecycle Strong experience with coding in Python coding A background of 5+ years in Software Engineering, using Google Cloud Platform (GCP) Data Ops Engineers take ownership of delivering high-performing, high-impact biomedical and scientific data ops products and services, from a description of a pattern that customer Data Engineers are trying to use all the way through to final delivery (and ongoing monitoring and operations) of a templated project and all associated automation. They are standard-bearers for software engineering and quality coding practices within the team and are expected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project. They devise useful metrics for ensuring their services are meeting customer demand and having an impact and iterate to deliver and improve on those metrics in an agile fashion.

Technical Lead Are you looking for a role where you can define how things are built as well as build them? This is a chance to join a modern, mission-driven charity thats scaling fast after a recent merger. Youll work across cloud, software, and integrations to create the technical frameworks that power real-world impact. Youll be the go-to technical voice for engineering and delivery, shaping how apps, services, and systems come together. Its a varied role that mixes hands-on coding with architectural design and technical leadership. Youll design and build modern environments, integrate multiple SaaS platforms, and help set the standards for how things are done across the organisation. Youll work closely with a small team including a junior engineer and a DevOps-security specialist, mentoring through collaboration and example. Projects range from building new products to improving automation and shaping how new digital services are delivered. Two days each week are typically spent in the West London office, with flexibility for the rest of the week. The team is small, modern, and forward-thinking, offering real influence and variety in your work. Technology environment includes: Cloud and Infrastructure AWS and cloud architecture Infrastructure as code using Terraform and CloudFormation Docker and Kubernetes Automation and CI/CD pipelines GitHub and GitHub Actions Software and Frameworks React, Node, Next.js, Python API design and integration RESTful services and automation Data and Platforms Salesforce Google Workspace Atlassian tools such as Jira and Confluence Databases including DynamoDB, MongoDB, and RDS Security and Identity Okta and federated identity management Encryption and TLS Cloud posture and compliance best practice Youll bring a broad technical background, strong problem-solving ability, and the confidence to define the right approach. If you enjoy combining coding, cloud engineering, and design thinking, and want a role with purpose, autonomy, and impact, then this is for you.

Junior AI/ML Azure Engineer / 6 months / Hybrid London / Start ASAP My client is setting up a brand new AI/ML function and within this capability, we are looking for a Azure AI MLOps Engineer professional. The role is based within the IT department on the AI function, located in my clients London headquarters building. We are seeking a highly skilled and experienced Azure AI Engineer to design, develop and implement the AI and ML applications on the Azure platform. You will have adequate knowledge in deploying, integrating, testing and securing Azure AI Services encompassing AI and ML functions. You will be critical in creating intelligent AI applications. You will work closely with cross-functional teams to conceptualise, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. The AI IT application development uses Agile software delivery on Azure cloud technologies. The development uses a platform built using Python technologies together with commercially available off the shelf software products with the clients solution architecture team guidance. Build, develop and deploy AI powered applications using Python and related frameworks Utilise Python and other relevant programming languages to build intelligent applications on the Azure platform. Design and develop Azure AI Services proficiently; Develop solutions using Azure AI Prompt Flow; Setup and develop data ingestion pipelines and components; Developing search related components using Azure AI Search (Vector Store) Developing and deploying AI/ML models on Azure technologies for business teams Collaborate with AI Engineers, MLOps Engineers, Data Scientists and Business stakeholders to understand deployment, networking and security requirements in helping design effective AI solutions for the projects Develop and test code, ensuring high quality, maintainability, and adherence to best practices. Create and maintain secure and performant AI platform Provide technical expertise in designing, developing and implementing the AI powered applications Develop unit tests, automated regression packs and help setup model evaluation test packs Build and maintain scalable, high-performance AI apps on Azure platform. Provide technical expertise and support to troubleshoot and resolve AI-related issues and performance bottlenecks. Stay current with industry trends and best practices in AI technology and recommend innovative solutions to enhance business operations. Conduct thorough testing and validation of AI models to ensure accuracy and reliability. Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively. Develop and implement automated testing frameworks for machine learning models to ensure their ongoing accuracy and reliability. Document AI development processes and procedures for efficient knowledge transfer and maintainability. Developing, designing and integrating AI Powered Applications with the approved tech stack and bank standards Developing Azure AI Services based AI applications Creating testing frameworks, evaluating AI/ML models Monitor and troubleshoot AI solutions to ensure optimal performance and address any potential issues Documentation of design and implementation strategy Implementation of pipeline and dependent tooling in conjunction with the clients DevOps suppliers and the clients IT Operations Identification of bottlenecks and performance improvements across deployment cycle Help promote a AI Development best practices and culture across the client IT Building reusable and scalable solutions

Junior Frontend Software Engineer – Remote (UK-Based). As a Junior Frontend Engineer, you'll learn rapidly, contribute directly to AI features, and shape the frontend user experience in a fast-paced agile environment. Solid foundation in software design patterns and data structures.

C++ and Rust (with ongoing migration from C++ to Rust). Junior Software Engineer (C++ or Rust) - High Performance Trading Systems. Drive the adoption of Rust while supporting existing C++ platforms.

Provide mentorship to junior engineers and promote software engineering best practices throughout the team. Senior Software Engineer - Network Security Production. As a Senior Software Engineer, you will be a critical member of the team responsible for the full lifecycle of our global network infras

Experience with client/server software architectures & networking, or microservice architectures.